DISKOWDISKOW – Discovering Job Knowledge through Web Analytics
Building an open Job Knowledge Base (JKB) using web analytics, EQF/ECF standards, and data mining to support European professional mobility and career integration.
Official Project Mark
European Commission — Erasmus+ Program
Open Job Knowledge Discovery through Web Analytics
Duration: 36 Months
4 Partners
Universities, Industry & Research Centers
Project Description & Objectives
DISKOW created a Job Knowledge Base (JKB) prototype leveraging web analytics, open data, and machine learning to analyze labor market trends, wage statistics, and qualification frameworks (EQF/ECF).
The project facilitates the career integration of European job seekers by making job competence data transparent and actionable for experts and employers.
Petanux Specific Project Responsibilities
- •Web analytics & machine learning pipeline engineering for job competence extraction
- •Open Job Knowledge Base (JKB) taxonomy modeling aligned with EQF/ECF standards
- •Data mining algorithm development for European labor market & qualification trend analysis
Project partners
Gottfried Wilhelm Leibniz Universität Hannover
Engineering – Ingegneria Informatica S.p.A.
Ekonomický ústav Slovenskej akadémie vied
Petanux GmbH
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